| library_name: transformers | |
| license: mit | |
| base_model: facebook/bart-large-cnn | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: Large_3000samples_new_without_format | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # Large_3000samples_new_without_format | |
| This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co./facebook/bart-large-cnn) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.7864 | |
| - Model Preparation Time: 0.0115 | |
| - Rouge1: 68.181 | |
| - Rouge2: 58.5268 | |
| - Rougel: 54.1689 | |
| - Rougelsum: 67.2634 | |
| - Gen Len: 113.07 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 5e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 300 | |
| - num_epochs: 2 | |
| - label_smoothing_factor: 0.1 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.44.2 | |
| - Pytorch 2.4.0+cu121 | |
| - Datasets 2.21.0 | |
| - Tokenizers 0.19.1 | |